Before accepting lateral move, evaluate on 5 axes: learning, network, visibility, stretch, energy.

Do not say "I know how you feel". Name the feeling with a precise word and verify it.

Pick 3 emotions on a Plutchik wheel (level 2) you feel now — precise labeling = calm.

In suffering, apply Neff's 3 steps: acknowledge, common humanity, self-kindness.

Trigger event → thought → distortion → counter-evidence → reframe.

Replace "you seem upset" with wheel-precise: "you seem frustrated because...".

Log mood (1-10) AM, noon, PM with a one-word cause — discover your patterns.

In anger, dissect: Antecedent → Belief → Consequence.

When entering a room or call, note your mood before and after to see what you "caught".

When someone near you is distressed, lower your own voice and pace first — your calm body lends calm.

When you reflexively say "I'm fine", pause and ask your body 3 questions before accepting the default answer.

Count how many times you "performed" a smile or enthusiasm you didn't actually feel at work today.

When your mood dips mid-social-day, apply a 90-second intervention before it spoils your interactions.

After guessing what a close person feels, verify explicitly instead of trusting your hunch alone.

Ask the model to decompose the problem and show its reasoning before answering, raising accuracy on complex tasks.

Add "think step-by-step inside <thinking> tags before answering" — boosts complex-problem accuracy 30-40%.

Ask the model to "think out loud" step by step before the final answer, especially for logic and math problems.